Overview

Dataset statistics

Number of variables25
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory236.9 B

Variable types

Numeric25

Alerts

water_supply is highly overall correlated with Total_Population and 15 other fieldsHigh correlation
Total_Population is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Households is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Population_per_Households is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Male_Population is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Female_Population is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Male_Female_Ratio is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Population_aging_Ratio is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Power_usage is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Num_of_Business is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Business_above_100 is highly overall correlated with water_supply and 16 other fieldsHigh correlation
complex_area is highly overall correlated with water_supply and 15 other fieldsHigh correlation
annual_household_income is highly overall correlated with water_supply and 16 other fieldsHigh correlation
High_School_Graduate_num is highly overall correlated with water_supply and 15 other fieldsHigh correlation
High_School_Graduate_ratio is highly overall correlated with water_supply and 14 other fieldsHigh correlation
personal_expense is highly overall correlated with water_supply and 15 other fieldsHigh correlation
benefits_vs_personal_expense is highly overall correlated with Business_above_100 and 1 other fieldsHigh correlation
employment_ratio is highly overall correlated with water_supply and 15 other fieldsHigh correlation
employment_insurance_ratio is highly overall correlated with Business_above_100High correlation
Average_Temp is highly overall correlated with Monthly_Rainfall and 3 other fieldsHigh correlation
Monthly_Rainfall is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Average_Relative_Humadity is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Ground_Temp is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Average_Pressure is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
water_supply has unique valuesUnique
Total_Population has unique valuesUnique
Households has unique valuesUnique
Population_per_Households has unique valuesUnique
Male_Population has unique valuesUnique
Female_Population has unique valuesUnique
Male_Female_Ratio has unique valuesUnique
Power_usage has unique valuesUnique
Num_of_Business has unique valuesUnique
employment_ratio has unique valuesUnique
employment_insurance_ratio has unique valuesUnique
Average_Temp has 2 (1.4%) zerosZeros

Reproduction

Analysis started2023-09-01 02:36:54.142088
Analysis finished2023-09-01 02:37:37.673395
Duration43.53 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

water_supply
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394309.38
Minimum230623.04
Maximum565534.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:37.721080image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum230623.04
5-th percentile259831.58
Q1307429.75
median396956.02
Q3479890.13
95-th percentile534276.72
Maximum565534.32
Range334911.29
Interquartile range (IQR)172460.38

Descriptive statistics

Standard deviation93195.165
Coefficient of variation (CV)0.23635036
Kurtosis-1.3014164
Mean394309.38
Median Absolute Deviation (MAD)88786.175
Skewness0.058932272
Sum56780551
Variance8.6853388 × 109
MonotonicityNot monotonic
2023-09-01T11:37:37.791322image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
234206 1
 
0.7%
230623.0357 1
 
0.7%
459626.4 1
 
0.7%
435598.2581 1
 
0.7%
444778.9667 1
 
0.7%
447094.5161 1
 
0.7%
450269.3871 1
 
0.7%
454142.5357 1
 
0.7%
455340 1
 
0.7%
458466.2667 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
230623.0357 1
0.7%
232326.9677 1
0.7%
234206 1
0.7%
236923.8333 1
0.7%
245231.9677 1
0.7%
256110.0323 1
0.7%
256875.5333 1
0.7%
259120.9032 1
0.7%
263858.7742 1
0.7%
264375.9355 1
0.7%
ValueCountFrequency (%)
565534.3226 1
0.7%
561707.9677 1
0.7%
558925.8333 1
0.7%
545017.8667 1
0.7%
538136.1333 1
0.7%
537825.5806 1
0.7%
536594.6774 1
0.7%
534545.7419 1
0.7%
532752.2581 1
0.7%
532372.9 1
0.7%

Total_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean640903.28
Minimum492891
Maximum887015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:37.865048image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum492891
5-th percentile499207.95
Q1525767.5
median598868.5
Q3760318.25
95-th percentile867349.2
Maximum887015
Range394124
Interquartile range (IQR)234550.75

Descriptive statistics

Standard deviation131192.59
Coefficient of variation (CV)0.20469952
Kurtosis-1.2187641
Mean640903.28
Median Absolute Deviation (MAD)82172
Skewness0.55995307
Sum92290072
Variance1.7211496 × 1010
MonotonicityNot monotonic
2023-09-01T11:37:37.938627image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
492891 1
 
0.7%
493951 1
 
0.7%
678784 1
 
0.7%
683038 1
 
0.7%
686975 1
 
0.7%
691086 1
 
0.7%
696587 1
 
0.7%
707124 1
 
0.7%
715626 1
 
0.7%
722220 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
492891 1
0.7%
493951 1
0.7%
495627 1
0.7%
496650 1
0.7%
497528 1
0.7%
497907 1
0.7%
498350 1
0.7%
499038 1
0.7%
500171 1
0.7%
502774 1
0.7%
ValueCountFrequency (%)
887015 1
0.7%
884225 1
0.7%
881154 1
0.7%
878879 1
0.7%
875987 1
0.7%
872537 1
0.7%
870361 1
0.7%
867819 1
0.7%
864687 1
0.7%
860865 1
0.7%

Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249426.12
Minimum185196
Maximum372888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:38.579805image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum185196
5-th percentile187004.4
Q1196198
median227266.5
Q3301726.25
95-th percentile360996.1
Maximum372888
Range187692
Interquartile range (IQR)105528.25

Descriptive statistics

Standard deviation60861.356
Coefficient of variation (CV)0.24400554
Kurtosis-1.0434725
Mean249426.12
Median Absolute Deviation (MAD)34454.5
Skewness0.66230127
Sum35917362
Variance3.7041046 × 109
MonotonicityNot monotonic
2023-09-01T11:37:38.654984image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185196 1
 
0.7%
185587 1
 
0.7%
263724 1
 
0.7%
265814 1
 
0.7%
267716 1
 
0.7%
269782 1
 
0.7%
272445 1
 
0.7%
276695 1
 
0.7%
280631 1
 
0.7%
283903 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
185196 1
0.7%
185587 1
0.7%
186288 1
0.7%
186577 1
0.7%
186704 1
0.7%
186720 1
0.7%
186746 1
0.7%
186966 1
0.7%
187222 1
0.7%
189042 1
0.7%
ValueCountFrequency (%)
372888 1
0.7%
371115 1
0.7%
369284 1
0.7%
367918 1
0.7%
366147 1
0.7%
364392 1
0.7%
362941 1
0.7%
361285 1
0.7%
359359 1
0.7%
356761 1
0.7%

Population_per_Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5915928
Minimum2.3787706
Maximum2.6800467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:38.732302image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2.3787706
5-th percentile2.4026581
Q12.5198982
median2.635032
Q32.6701958
95-th percentile2.6778914
Maximum2.6800467
Range0.30127611
Interquartile range (IQR)0.15029757

Descriptive statistics

Standard deviation0.091836673
Coefficient of variation (CV)0.035436383
Kurtosis-0.5725663
Mean2.5915928
Median Absolute Deviation (MAD)0.041490529
Skewness-0.86010993
Sum373.18936
Variance0.0084339746
MonotonicityNot monotonic
2023-09-01T11:37:38.805089image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.661455971 1
 
0.7%
2.661560346 1
 
0.7%
2.57384235 1
 
0.7%
2.569608824 1
 
0.7%
2.566058809 1
 
0.7%
2.56164607 1
 
0.7%
2.55679862 1
 
0.7%
2.555608161 1
 
0.7%
2.5500604 1
 
0.7%
2.543897035 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
2.378770569 1
0.7%
2.382617248 1
0.7%
2.386114752 1
0.7%
2.388790437 1
0.7%
2.392446203 1
0.7%
2.394500977 1
0.7%
2.398078476 1
0.7%
2.402034405 1
0.7%
2.406192693 1
0.7%
2.413001982 1
0.7%
ValueCountFrequency (%)
2.680046684 1
0.7%
2.680004896 1
0.7%
2.678957018 1
0.7%
2.678686711 1
0.7%
2.67810637 1
0.7%
2.677958962 1
0.7%
2.677897399 1
0.7%
2.677894297 1
0.7%
2.677875162 1
0.7%
2.677743627 1
0.7%

Male_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean331462.23
Minimum254025
Maximum460788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:38.880654image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum254025
5-th percentile257320.2
Q1271438
median309070
Q3393708.75
95-th percentile450604.35
Maximum460788
Range206763
Interquartile range (IQR)122270.75

Descriptive statistics

Standard deviation68607.34
Coefficient of variation (CV)0.20698389
Kurtosis-1.2034971
Mean331462.23
Median Absolute Deviation (MAD)42588
Skewness0.56793826
Sum47730561
Variance4.7069671 × 109
MonotonicityNot monotonic
2023-09-01T11:37:38.954021image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
254025 1
 
0.7%
254554 1
 
0.7%
350946 1
 
0.7%
353182 1
 
0.7%
355222 1
 
0.7%
357381 1
 
0.7%
360319 1
 
0.7%
365586 1
 
0.7%
370095 1
 
0.7%
373610 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
254025 1
0.7%
254554 1
0.7%
255403 1
0.7%
255912 1
0.7%
256419 1
0.7%
256628 1
0.7%
256841 1
0.7%
257235 1
0.7%
257803 1
0.7%
259263 1
0.7%
ValueCountFrequency (%)
460788 1
0.7%
459514 1
0.7%
457918 1
0.7%
456841 1
0.7%
455268 1
0.7%
453495 1
0.7%
452263 1
0.7%
450855 1
0.7%
449184 1
0.7%
447092 1
0.7%

Female_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309441.05
Minimum238866
Maximum426227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:39.025803image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum238866
5-th percentile241887.75
Q1254329.5
median289798.5
Q3366609.5
95-th percentile416744.85
Maximum426227
Range187361
Interquartile range (IQR)112280

Descriptive statistics

Standard deviation62587.215
Coefficient of variation (CV)0.20225893
Kurtosis-1.2351628
Mean309441.05
Median Absolute Deviation (MAD)39584
Skewness0.55126668
Sum44559511
Variance3.9171595 × 109
MonotonicityNot monotonic
2023-09-01T11:37:39.100046image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
238866 1
 
0.7%
239397 1
 
0.7%
327838 1
 
0.7%
329856 1
 
0.7%
331753 1
 
0.7%
333705 1
 
0.7%
336268 1
 
0.7%
341538 1
 
0.7%
345531 1
 
0.7%
348610 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
238866 1
0.7%
239397 1
0.7%
240224 1
0.7%
240738 1
0.7%
241109 1
0.7%
241279 1
0.7%
241509 1
0.7%
241803 1
0.7%
242368 1
0.7%
243511 1
0.7%
ValueCountFrequency (%)
426227 1
0.7%
424711 1
0.7%
423236 1
0.7%
422038 1
0.7%
420719 1
0.7%
419042 1
0.7%
418098 1
0.7%
416964 1
0.7%
415503 1
0.7%
413773 1
0.7%

Male_Female_Ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0702402
Minimum1.0630312
Maximum1.0824641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:39.176883image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.0630312
5-th percentile1.0637046
Q11.0667815
median1.0690221
Q31.0738632
95-th percentile1.0810821
Maximum1.0824641
Range0.019432959
Interquartile range (IQR)0.0070816421

Descriptive statistics

Standard deviation0.004992345
Coefficient of variation (CV)0.0046646957
Kurtosis-0.04928927
Mean1.0702402
Median Absolute Deviation (MAD)0.0028112327
Skewness0.8227462
Sum154.11459
Variance2.4923509 × 10-5
MonotonicityNot monotonic
2023-09-01T11:37:39.251989image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.06346236 1
 
0.7%
1.063313241 1
 
0.7%
1.070486033 1
 
0.7%
1.070715706 1
 
0.7%
1.07074239 1
 
0.7%
1.070948892 1
 
0.7%
1.071523309 1
 
0.7%
1.070410906 1
 
0.7%
1.071090582 1
 
0.7%
1.071713376 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
1.063031179 1
0.7%
1.063186859 1
0.7%
1.063313241 1
0.7%
1.06346236 1
0.7%
1.063484177 1
0.7%
1.063498252 1
0.7%
1.063615151 1
0.7%
1.06368415 1
0.7%
1.063820548 1
0.7%
1.063906708 1
0.7%
ValueCountFrequency (%)
1.082464138 1
0.7%
1.082218489 1
0.7%
1.082118944 1
0.7%
1.081945134 1
0.7%
1.081944825 1
0.7%
1.081715292 1
0.7%
1.081280398 1
0.7%
1.0810859 1
0.7%
1.081060787 1
0.7%
1.080524829 1
0.7%

Population_aging_Ratio
Real number (ℝ)

Distinct18
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2840278
Minimum7.6
Maximum9.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:39.320900image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum7.6
5-th percentile7.6
Q18
median8.3
Q38.4
95-th percentile9.085
Maximum9.3
Range1.7
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.41419957
Coefficient of variation (CV)0.049999781
Kurtosis-0.026818503
Mean8.2840278
Median Absolute Deviation (MAD)0.15
Skewness0.1659731
Sum1192.9
Variance0.17156129
MonotonicityNot monotonic
2023-09-01T11:37:39.376744image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
8.4 40
27.8%
8.3 23
16.0%
7.6 16
 
11.1%
8.2 9
 
6.2%
7.9 9
 
6.2%
7.7 7
 
4.9%
8.5 7
 
4.9%
8.7 4
 
2.8%
9 4
 
2.8%
9.2 4
 
2.8%
Other values (8) 21
14.6%
ValueCountFrequency (%)
7.6 16
 
11.1%
7.7 7
 
4.9%
7.8 3
 
2.1%
7.9 9
 
6.2%
8 3
 
2.1%
8.1 3
 
2.1%
8.2 9
 
6.2%
8.3 23
16.0%
8.4 40
27.8%
8.5 7
 
4.9%
ValueCountFrequency (%)
9.3 2
 
1.4%
9.2 4
 
2.8%
9.1 2
 
1.4%
9 4
 
2.8%
8.9 2
 
1.4%
8.8 3
 
2.1%
8.7 4
 
2.8%
8.6 3
 
2.1%
8.5 7
 
4.9%
8.4 40
27.8%

Power_usage
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3217596 × 109
Minimum7.20258 × 108
Maximum2.1717225 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:39.446646image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum7.20258 × 108
5-th percentile9.0263015 × 108
Q11.094286 × 109
median1.3077807 × 109
Q31.545146 × 109
95-th percentile1.7125652 × 109
Maximum2.1717225 × 109
Range1.4514645 × 109
Interquartile range (IQR)4.5086 × 108

Descriptive statistics

Standard deviation2.7685355 × 108
Coefficient of variation (CV)0.20945831
Kurtosis-0.69423442
Mean1.3217596 × 109
Median Absolute Deviation (MAD)2.3566402 × 108
Skewness0.12626303
Sum1.9033339 × 1011
Variance7.6647887 × 1016
MonotonicityNot monotonic
2023-09-01T11:37:39.520971image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
941151000 1
 
0.7%
907051000 1
 
0.7%
1493379279 1
 
0.7%
1363739847 1
 
0.7%
1478947187 1
 
0.7%
1619349764 1
 
0.7%
1671362315 1
 
0.7%
1615696378 1
 
0.7%
1548214823 1
 
0.7%
1502795115 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
720258000 1
0.7%
846808000 1
0.7%
860703000 1
0.7%
866755000 1
0.7%
888211000 1
0.7%
888670000 1
0.7%
900857000 1
0.7%
901850000 1
0.7%
907051000 1
0.7%
919779000 1
0.7%
ValueCountFrequency (%)
2171722483 1
0.7%
1847907632 1
0.7%
1839533346 1
0.7%
1794299086 1
0.7%
1792576987 1
0.7%
1734962430 1
0.7%
1716594160 1
0.7%
1714147820 1
0.7%
1703597016 1
0.7%
1692199452 1
0.7%

Num_of_Business
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38075.951
Minimum20772
Maximum59483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:39.600786image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum20772
5-th percentile22510.6
Q128534.25
median39174
Q346181.5
95-th percentile56140.3
Maximum59483
Range38711
Interquartile range (IQR)17647.25

Descriptive statistics

Standard deviation10779.138
Coefficient of variation (CV)0.28309569
Kurtosis-1.0621671
Mean38075.951
Median Absolute Deviation (MAD)9208.5
Skewness0.15991918
Sum5482937
Variance1.1618981 × 108
MonotonicityNot monotonic
2023-09-01T11:37:39.675965image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21793 1
 
0.7%
20902 1
 
0.7%
40985 1
 
0.7%
42123 1
 
0.7%
42327 1
 
0.7%
43305 1
 
0.7%
44450 1
 
0.7%
42096 1
 
0.7%
43850 1
 
0.7%
44819 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
20772 1
0.7%
20902 1
0.7%
21239 1
0.7%
21631 1
0.7%
21793 1
0.7%
21823 1
0.7%
22330 1
0.7%
22504 1
0.7%
22548 1
0.7%
22685 1
0.7%
ValueCountFrequency (%)
59483 1
0.7%
58947 1
0.7%
58459 1
0.7%
58445 1
0.7%
57667 1
0.7%
57657 1
0.7%
57015 1
0.7%
56176 1
0.7%
55938 1
0.7%
55667 1
0.7%

Business_above_100
Real number (ℝ)

Distinct92
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean365.36111
Minimum231
Maximum448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:39.756899image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum231
5-th percentile244.3
Q1304.5
median392
Q3424.5
95-th percentile438.85
Maximum448
Range217
Interquartile range (IQR)120

Descriptive statistics

Standard deviation68.796407
Coefficient of variation (CV)0.18829702
Kurtosis-1.0702971
Mean365.36111
Median Absolute Deviation (MAD)36
Skewness-0.67469548
Sum52612
Variance4732.9456
MonotonicityNot monotonic
2023-09-01T11:37:39.829184image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
428 7
 
4.9%
426 4
 
2.8%
433 4
 
2.8%
394 4
 
2.8%
423 3
 
2.1%
253 3
 
2.1%
427 3
 
2.1%
393 3
 
2.1%
257 3
 
2.1%
387 3
 
2.1%
Other values (82) 107
74.3%
ValueCountFrequency (%)
231 1
0.7%
236 1
0.7%
237 1
0.7%
238 1
0.7%
242 1
0.7%
243 1
0.7%
244 2
1.4%
246 1
0.7%
247 1
0.7%
248 1
0.7%
ValueCountFrequency (%)
448 1
 
0.7%
445 2
1.4%
444 2
1.4%
443 1
 
0.7%
440 1
 
0.7%
439 1
 
0.7%
438 2
1.4%
437 1
 
0.7%
436 2
1.4%
433 4
2.8%

complex_area
Real number (ℝ)

Distinct47
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70880119
Minimum68773111
Maximum72173771
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:39.902985image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum68773111
5-th percentile68776392
Q170495047
median71235325
Q371990493
95-th percentile72172903
Maximum72173771
Range3400660
Interquartile range (IQR)1495446

Descriptive statistics

Standard deviation1247893.3
Coefficient of variation (CV)0.017605688
Kurtosis-0.99051597
Mean70880119
Median Absolute Deviation (MAD)755152.5
Skewness-0.6463676
Sum1.0206737 × 1010
Variance1.5572376 × 1012
MonotonicityNot monotonic
2023-09-01T11:37:39.975513image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
71990493 10
 
6.9%
68812331 6
 
4.2%
70495047 6
 
4.2%
68773111 6
 
4.2%
68778302 6
 
4.2%
68818064 6
 
4.2%
71984054 6
 
4.2%
70613338 5
 
3.5%
71984053 5
 
3.5%
69041059 5
 
3.5%
Other values (37) 83
57.6%
ValueCountFrequency (%)
68773111 6
4.2%
68776392 3
2.1%
68778302 6
4.2%
68812331 6
4.2%
68818064 6
4.2%
69041059 5
3.5%
70495047 6
4.2%
70560972 3
2.1%
70562777 3
2.1%
70611673 3
2.1%
ValueCountFrequency (%)
72173771 1
 
0.7%
72173380 4
2.8%
72172903 5
3.5%
72172902 1
 
0.7%
72172783 3
2.1%
72165351 1
 
0.7%
72165237 4
2.8%
72165074 2
 
1.4%
72163431 2
 
1.4%
72163405 2
 
1.4%

annual_household_income
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1296.5
Minimum902
Maximum1762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:40.042948image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum902
5-th percentile902
Q11084
median1336.5
Q31459.5
95-th percentile1762
Maximum1762
Range860
Interquartile range (IQR)375.5

Descriptive statistics

Standard deviation256.03677
Coefficient of variation (CV)0.19748304
Kurtosis-0.95023595
Mean1296.5
Median Absolute Deviation (MAD)201.5
Skewness-0.015700438
Sum186696
Variance65554.825
MonotonicityNot monotonic
2023-09-01T11:37:40.095556image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1227 12
8.3%
902 12
8.3%
922 12
8.3%
1048 12
8.3%
1096 12
8.3%
1272 12
8.3%
1418 12
8.3%
1401 12
8.3%
1540 12
8.3%
1762 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
902 12
8.3%
922 12
8.3%
1048 12
8.3%
1096 12
8.3%
1227 12
8.3%
1272 12
8.3%
1401 12
8.3%
1418 12
8.3%
1434 12
8.3%
1536 12
8.3%
ValueCountFrequency (%)
1762 12
8.3%
1540 12
8.3%
1536 12
8.3%
1434 12
8.3%
1418 12
8.3%
1401 12
8.3%
1272 12
8.3%
1227 12
8.3%
1096 12
8.3%
1048 12
8.3%

High_School_Graduate_num
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4894.75
Minimum2532
Maximum6516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:40.149985image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2532
5-th percentile2532
Q14068.5
median5039
Q35939.75
95-th percentile6516
Maximum6516
Range3984
Interquartile range (IQR)1871.25

Descriptive statistics

Standard deviation1193.583
Coefficient of variation (CV)0.24384963
Kurtosis-0.75422967
Mean4894.75
Median Absolute Deviation (MAD)957
Skewness-0.46732688
Sum704844
Variance1424640.4
MonotonicityNot monotonic
2023-09-01T11:37:40.207605image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2532 12
8.3%
3242 12
8.3%
3947 12
8.3%
4109 12
8.3%
4846 12
8.3%
4911 12
8.3%
5167 12
8.3%
5211 12
8.3%
6023 12
8.3%
6516 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
2532 12
8.3%
3242 12
8.3%
3947 12
8.3%
4109 12
8.3%
4846 12
8.3%
4911 12
8.3%
5167 12
8.3%
5211 12
8.3%
5912 12
8.3%
6023 12
8.3%
ValueCountFrequency (%)
6516 12
8.3%
6321 12
8.3%
6023 12
8.3%
5912 12
8.3%
5211 12
8.3%
5167 12
8.3%
4911 12
8.3%
4846 12
8.3%
4109 12
8.3%
3947 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.67613904
Minimum0.48018206
Maximum0.78152819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:40.270252image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.48018206
5-th percentile0.48018206
Q10.6691463
median0.6806242
Q30.72209746
95-th percentile0.78152819
Maximum0.78152819
Range0.30134613
Interquartile range (IQR)0.052951159

Descriptive statistics

Standard deviation0.080047673
Coefficient of variation (CV)0.11838937
Kurtosis0.82200051
Mean0.67613904
Median Absolute Deviation (MAD)0.026092159
Skewness-1.0495681
Sum97.364022
Variance0.00640763
MonotonicityNot monotonic
2023-09-01T11:37:40.322235image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.4801820595 12
8.3%
0.5703729768 12
8.3%
0.6750470327 12
8.3%
0.6578610311 12
8.3%
0.7582537944 12
8.3%
0.6846507737 12
8.3%
0.7100453484 12
8.3%
0.6729080579 12
8.3%
0.6834222172 12
8.3%
0.7615708275 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
0.4801820595 12
8.3%
0.5703729768 12
8.3%
0.6578610311 12
8.3%
0.6729080579 12
8.3%
0.6750470327 12
8.3%
0.6778261867 12
8.3%
0.6834222172 12
8.3%
0.6846507737 12
8.3%
0.7100453484 12
8.3%
0.7582537944 12
8.3%
ValueCountFrequency (%)
0.7815281899 12
8.3%
0.7615708275 12
8.3%
0.7582537944 12
8.3%
0.7100453484 12
8.3%
0.6846507737 12
8.3%
0.6834222172 12
8.3%
0.6778261867 12
8.3%
0.6750470327 12
8.3%
0.6729080579 12
8.3%
0.6578610311 12
8.3%

personal_expense
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96051708
Minimum57877912
Maximum1.6403188 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:40.379406image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum57877912
5-th percentile57877912
Q172332728
median81448338
Q31.1739272 × 108
95-th percentile1.6403188 × 108
Maximum1.6403188 × 108
Range1.0615397 × 108
Interquartile range (IQR)45059993

Descriptive statistics

Standard deviation35386354
Coefficient of variation (CV)0.36840942
Kurtosis-0.81672861
Mean96051708
Median Absolute Deviation (MAD)17664932
Skewness0.84483467
Sum1.3831446 × 1010
Variance1.2521941 × 1015
MonotonicityNot monotonic
2023-09-01T11:37:40.437950image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
57877912 12
8.3%
62155655 12
8.3%
65411156 12
8.3%
74639919 12
8.3%
78256415 12
8.3%
78786633 12
8.3%
84312478 12
8.3%
84110042 12
8.3%
109018733 12
8.3%
142514685 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
57877912 12
8.3%
62155655 12
8.3%
65411156 12
8.3%
74639919 12
8.3%
78256415 12
8.3%
78786633 12
8.3%
84110042 12
8.3%
84312478 12
8.3%
109018733 12
8.3%
142514685 12
8.3%
ValueCountFrequency (%)
164031884 12
8.3%
151504982 12
8.3%
142514685 12
8.3%
109018733 12
8.3%
84312478 12
8.3%
84110042 12
8.3%
78786633 12
8.3%
78256415 12
8.3%
74639919 12
8.3%
65411156 12
8.3%
Distinct11
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.775
Minimum9.4
Maximum13.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:40.495677image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum9.4
5-th percentile9.4
Q110.15
median11.8
Q313.525
95-th percentile13.7
Maximum13.7
Range4.3
Interquartile range (IQR)3.375

Descriptive statistics

Standard deviation1.6722122
Coefficient of variation (CV)0.14201378
Kurtosis-1.6832075
Mean11.775
Median Absolute Deviation (MAD)1.75
Skewness-0.10372691
Sum1695.6
Variance2.7962937
MonotonicityNot monotonic
2023-09-01T11:37:40.546526image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
13.6 24
16.7%
9.6 12
8.3%
13.7 12
8.3%
13.5 12
8.3%
11.5 12
8.3%
10 12
8.3%
9.4 12
8.3%
10.2 12
8.3%
10.7 12
8.3%
12.1 12
8.3%
ValueCountFrequency (%)
9.4 12
8.3%
9.6 12
8.3%
10 12
8.3%
10.2 12
8.3%
10.7 12
8.3%
11.5 12
8.3%
12.1 12
8.3%
13.4 12
8.3%
13.5 12
8.3%
13.6 24
16.7%
ValueCountFrequency (%)
13.7 12
8.3%
13.6 24
16.7%
13.5 12
8.3%
13.4 12
8.3%
12.1 12
8.3%
11.5 12
8.3%
10.7 12
8.3%
10.2 12
8.3%
10 12
8.3%
9.6 12
8.3%

employment_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223976.51
Minimum151400
Maximum312922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:40.614100image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum151400
5-th percentile159702.45
Q1183872
median218240.5
Q3264151.25
95-th percentile303514.8
Maximum312922
Range161522
Interquartile range (IQR)80279.25

Descriptive statistics

Standard deviation46686.147
Coefficient of variation (CV)0.20844215
Kurtosis-1.1570388
Mean223976.51
Median Absolute Deviation (MAD)39632.5
Skewness0.25769539
Sum32252618
Variance2.1795963 × 109
MonotonicityNot monotonic
2023-09-01T11:37:40.689296image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
151400 1
 
0.7%
152511 1
 
0.7%
244085 1
 
0.7%
244712 1
 
0.7%
246698 1
 
0.7%
247740 1
 
0.7%
249053 1
 
0.7%
250162 1
 
0.7%
251839 1
 
0.7%
254823 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
151400 1
0.7%
152391 1
0.7%
152511 1
0.7%
155766 1
0.7%
156725 1
0.7%
157942 1
0.7%
158950 1
0.7%
159684 1
0.7%
159807 1
0.7%
159838 1
0.7%
ValueCountFrequency (%)
312922 1
0.7%
312438 1
0.7%
310679 1
0.7%
308659 1
0.7%
306700 1
0.7%
305650 1
0.7%
305212 1
0.7%
303690 1
0.7%
302522 1
0.7%
300023 1
0.7%

employment_insurance_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34925526
Minimum0.3071673
Maximum0.37797627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:40.769911image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.3071673
5-th percentile0.3190048
Q10.34123461
median0.35039201
Q30.36137636
95-th percentile0.37365524
Maximum0.37797627
Range0.070808963
Interquartile range (IQR)0.020141753

Descriptive statistics

Standard deviation0.016393013
Coefficient of variation (CV)0.046937055
Kurtosis-0.20122527
Mean0.34925526
Median Absolute Deviation (MAD)0.0097992655
Skewness-0.52057439
Sum50.292757
Variance0.00026873088
MonotonicityNot monotonic
2023-09-01T11:37:40.844061image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3071673047 1
 
0.7%
0.3087573464 1
 
0.7%
0.3595915637 1
 
0.7%
0.3582699645 1
 
0.7%
0.3591076822 1
 
0.7%
0.3584792631 1
 
0.7%
0.3575332299 1
 
0.7%
0.3537738784 1
 
0.7%
0.3519142681 1
 
0.7%
0.3528329318 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.3071673047 1
0.7%
0.3074711426 1
0.7%
0.3087573464 1
0.7%
0.3136333434 1
0.7%
0.3150073966 1
0.7%
0.3172118488 1
0.7%
0.3176059223 1
0.7%
0.3189525434 1
0.7%
0.3193009097 1
0.7%
0.3195047294 1
0.7%
ValueCountFrequency (%)
0.3779762675 1
0.7%
0.3775938918 1
0.7%
0.3764179875 1
0.7%
0.3752057069 1
0.7%
0.3749053392 1
0.7%
0.374208992 1
0.7%
0.3737305979 1
0.7%
0.3736731829 1
0.7%
0.3735535766 1
0.7%
0.3725048191 1
0.7%

Average_Temp
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct118
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.790972
Minimum-7.2
Maximum28.4
Zeros2
Zeros (%)1.4%
Negative21
Negative (%)14.6%
Memory size6.3 KiB
2023-09-01T11:37:40.923880image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-7.2
5-th percentile-2.085
Q13.225
median13.65
Q322.325
95-th percentile26.785
Maximum28.4
Range35.6
Interquartile range (IQR)19.1

Descriptive statistics

Standard deviation10.084211
Coefficient of variation (CV)0.78838505
Kurtosis-1.3394527
Mean12.790972
Median Absolute Deviation (MAD)8.9
Skewness-0.12644596
Sum1841.9
Variance101.69132
MonotonicityNot monotonic
2023-09-01T11:37:40.995368image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.5 4
 
2.8%
21.1 3
 
2.1%
5.7 3
 
2.1%
18.2 2
 
1.4%
17.6 2
 
1.4%
22.6 2
 
1.4%
2.4 2
 
1.4%
15.7 2
 
1.4%
12.6 2
 
1.4%
19.1 2
 
1.4%
Other values (108) 120
83.3%
ValueCountFrequency (%)
-7.2 1
0.7%
-4.4 1
0.7%
-3.9 1
0.7%
-3.6 1
0.7%
-3.4 1
0.7%
-2.7 1
0.7%
-2.4 1
0.7%
-2.1 1
0.7%
-2 1
0.7%
-1.9 1
0.7%
ValueCountFrequency (%)
28.4 1
0.7%
27.7 2
1.4%
27.5 1
0.7%
27.4 1
0.7%
27.3 1
0.7%
26.9 1
0.7%
26.8 1
0.7%
26.7 1
0.7%
26.5 1
0.7%
26.2 1
0.7%

Monthly_Rainfall
Real number (ℝ)

Distinct139
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.61042
Minimum0.5
Maximum794.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:41.075760image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile9.105
Q127.05
median61.35
Q3119.8
95-th percentile383.38
Maximum794.3
Range793.8
Interquartile range (IQR)92.75

Descriptive statistics

Standard deviation135.83777
Coefficient of variation (CV)1.2623106
Kurtosis8.2327132
Mean107.61042
Median Absolute Deviation (MAD)38.75
Skewness2.6626437
Sum15495.9
Variance18451.9
MonotonicityNot monotonic
2023-09-01T11:37:41.150761image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.6 2
 
1.4%
16.5 2
 
1.4%
22.5 2
 
1.4%
9.9 2
 
1.4%
24.1 2
 
1.4%
222.7 1
 
0.7%
107 1
 
0.7%
196.4 1
 
0.7%
218.6 1
 
0.7%
26.1 1
 
0.7%
Other values (129) 129
89.6%
ValueCountFrequency (%)
0.5 1
0.7%
0.7 1
0.7%
4.6 2
1.4%
5.4 1
0.7%
6.9 1
0.7%
7.9 1
0.7%
9 1
0.7%
9.7 1
0.7%
9.9 2
1.4%
10.9 1
0.7%
ValueCountFrequency (%)
794.3 1
0.7%
684.5 1
0.7%
659.3 1
0.7%
572.3 1
0.7%
426.2 1
0.7%
405.9 1
0.7%
391.5 1
0.7%
384.7 1
0.7%
375.9 1
0.7%
372.8 1
0.7%

Average_Relative_Humadity
Real number (ℝ)

Distinct34
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.006944
Minimum53
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:41.241436image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum53
5-th percentile58.15
Q164
median70
Q374.25
95-th percentile83
Maximum89
Range36
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation7.5960024
Coefficient of variation (CV)0.10850356
Kurtosis-0.41445467
Mean70.006944
Median Absolute Deviation (MAD)5
Skewness0.21751159
Sum10081
Variance57.699252
MonotonicityNot monotonic
2023-09-01T11:37:41.329481image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
73 12
 
8.3%
71 11
 
7.6%
65 11
 
7.6%
63 11
 
7.6%
72 8
 
5.6%
69 8
 
5.6%
67 7
 
4.9%
81 6
 
4.2%
70 6
 
4.2%
64 5
 
3.5%
Other values (24) 59
41.0%
ValueCountFrequency (%)
53 1
 
0.7%
54 1
 
0.7%
56 2
 
1.4%
57 1
 
0.7%
58 3
 
2.1%
59 3
 
2.1%
60 3
 
2.1%
61 5
3.5%
62 2
 
1.4%
63 11
7.6%
ValueCountFrequency (%)
89 1
 
0.7%
88 1
 
0.7%
87 1
 
0.7%
86 1
 
0.7%
84 1
 
0.7%
83 5
3.5%
81 6
4.2%
80 2
 
1.4%
79 4
2.8%
78 5
3.5%

Ground_Temp
Real number (ℝ)

Distinct113
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.589583
Minimum-3.6
Maximum32.4
Zeros1
Zeros (%)0.7%
Negative21
Negative (%)14.6%
Memory size6.3 KiB
2023-09-01T11:37:41.429766image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-3.6
5-th percentile-1.925
Q14.075
median14.8
Q323.325
95-th percentile27.9
Maximum32.4
Range36
Interquartile range (IQR)19.25

Descriptive statistics

Standard deviation10.726242
Coefficient of variation (CV)0.78929882
Kurtosis-1.4273669
Mean13.589583
Median Absolute Deviation (MAD)9.8
Skewness-0.065302718
Sum1956.9
Variance115.05227
MonotonicityNot monotonic
2023-09-01T11:37:41.524602image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.3 4
 
2.8%
0.9 3
 
2.1%
7.3 3
 
2.1%
-1.4 3
 
2.1%
20.1 3
 
2.1%
24.5 2
 
1.4%
18.4 2
 
1.4%
-1.2 2
 
1.4%
14.8 2
 
1.4%
27.9 2
 
1.4%
Other values (103) 118
81.9%
ValueCountFrequency (%)
-3.6 1
 
0.7%
-3.3 1
 
0.7%
-3.1 1
 
0.7%
-2.9 1
 
0.7%
-2.5 1
 
0.7%
-2.4 1
 
0.7%
-2.3 1
 
0.7%
-2 1
 
0.7%
-1.5 1
 
0.7%
-1.4 3
2.1%
ValueCountFrequency (%)
32.4 1
0.7%
30.4 1
0.7%
29.7 1
0.7%
29.3 1
0.7%
28.6 1
0.7%
28.3 1
0.7%
28.1 1
0.7%
27.9 2
1.4%
27.8 1
0.7%
27.7 1
0.7%

Average_Wind
Real number (ℝ)

Distinct14
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8055556
Minimum1.1
Maximum2.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:41.609048image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile1.4
Q11.6
median1.8
Q32
95-th percentile2.2
Maximum2.7
Range1.6
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.24687637
Coefficient of variation (CV)0.13673153
Kurtosis0.70612869
Mean1.8055556
Median Absolute Deviation (MAD)0.2
Skewness0.28029104
Sum260
Variance0.060947941
MonotonicityNot monotonic
2023-09-01T11:37:41.681137image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.8 26
18.1%
1.7 22
15.3%
1.9 21
14.6%
2 18
12.5%
1.6 15
10.4%
1.5 13
9.0%
2.1 8
 
5.6%
2.2 6
 
4.2%
1.4 6
 
4.2%
2.3 4
 
2.8%
Other values (4) 5
 
3.5%
ValueCountFrequency (%)
1.1 1
 
0.7%
1.3 2
 
1.4%
1.4 6
 
4.2%
1.5 13
9.0%
1.6 15
10.4%
1.7 22
15.3%
1.8 26
18.1%
1.9 21
14.6%
2 18
12.5%
2.1 8
 
5.6%
ValueCountFrequency (%)
2.7 1
 
0.7%
2.4 1
 
0.7%
2.3 4
 
2.8%
2.2 6
 
4.2%
2.1 8
 
5.6%
2 18
12.5%
1.9 21
14.6%
1.8 26
18.1%
1.7 22
15.3%
1.6 15
10.4%

Average_Pressure
Real number (ℝ)

Distinct104
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1012.4069
Minimum1001.6
Maximum1023.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:37:41.774823image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1001.6
5-th percentile1002.5
Q11005.7
median1013.6
Q31018.3
95-th percentile1021.755
Maximum1023.6
Range22
Interquartile range (IQR)12.6

Descriptive statistics

Standard deviation6.753281
Coefficient of variation (CV)0.0066705202
Kurtosis-1.4144943
Mean1012.4069
Median Absolute Deviation (MAD)6.15
Skewness-0.097752815
Sum145786.6
Variance45.606805
MonotonicityNot monotonic
2023-09-01T11:37:41.866413image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1020.5 4
 
2.8%
1003.4 3
 
2.1%
1002 3
 
2.1%
1009.5 3
 
2.1%
1015.2 3
 
2.1%
1002.5 2
 
1.4%
1020.9 2
 
1.4%
1009.2 2
 
1.4%
1004.1 2
 
1.4%
1016.3 2
 
1.4%
Other values (94) 118
81.9%
ValueCountFrequency (%)
1001.6 1
 
0.7%
1001.8 1
 
0.7%
1002 3
2.1%
1002.2 2
1.4%
1002.5 2
1.4%
1002.9 2
1.4%
1003 1
 
0.7%
1003.1 1
 
0.7%
1003.3 1
 
0.7%
1003.4 3
2.1%
ValueCountFrequency (%)
1023.6 1
0.7%
1023.4 1
0.7%
1023.1 1
0.7%
1022.4 1
0.7%
1022.1 1
0.7%
1022 1
0.7%
1021.9 1
0.7%
1021.8 1
0.7%
1021.5 1
0.7%
1021.4 1
0.7%

Interactions

2023-09-01T11:37:35.925507image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:54.521620image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:56.533311image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:59.063610image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:00.931014image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:02.532309image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:04.385776image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:06.186183image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:07.822530image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:09.403247image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:11.356368image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:13.027133image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:14.619216image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:16.187565image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:17.707930image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:19.749818image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:21.328765image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:22.925833image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:24.411411image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:26.033371image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:28.129740image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:29.696095image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:31.304909image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:32.865071image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:34.406548image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:35.980830image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:54.657687image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:56.608104image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:59.150406image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:00.997103image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:02.591331image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:04.454396image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:06.248567image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:07.885851image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:09.463261image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:11.417801image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:13.085560image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:14.684296image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:16.249711image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:17.778286image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:19.809946image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:21.390607image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:22.986116image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:24.473522image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:26.094256image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:28.191761image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:29.759657image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:31.365680image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:32.926004image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:34.468121image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:36.044074image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:54.734284image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:56.685648image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:59.227795image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:01.068572image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:02.657260image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:04.528446image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:06.316416image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:07.955231image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:09.529127image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:11.484125image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:13.150002image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:14.754264image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:16.315649image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:17.844543image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:19.876097image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:21.455901image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:23.053901image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:24.546723image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:26.163286image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:28.258127image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:29.827756image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:31.430911image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:32.988604image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:34.534060image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:36.106588image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:54.807142image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:56.768596image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:59.308927image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:01.139061image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:02.720981image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:04.598234image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:06.381423image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:08.018167image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:09.593139image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:11.552275image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:13.215781image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:14.814819image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:16.377708image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:18.329253image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:19.936996image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:21.528611image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
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2023-09-01T11:37:24.053760image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:25.640605image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:27.742546image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:29.318761image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:30.920250image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:32.495570image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:34.035534image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:35.565795image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:37.074070image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:56.173365image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:58.274031image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:00.581855image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:02.227514image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:03.728474image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:05.866042image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:07.498369image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:09.094316image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:11.030971image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:12.708673image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:14.279301image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:15.877539image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:17.405476image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:19.422717image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:20.971417image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:22.622256image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:24.113744image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:25.708419image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:27.813201image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:29.380673image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:30.981545image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:32.559169image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:34.099276image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:35.626617image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:37.135320image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:56.255675image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:58.382868image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:00.657885image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:02.291257image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:03.791226image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:05.930318image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:07.565790image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:09.160766image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:11.105814image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:12.777272image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:14.347101image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:15.940904image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:17.469767image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:19.493203image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:21.033344image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:22.684379image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:24.177351image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:25.775593image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:27.879356image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:29.447869image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:31.049698image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:32.620485image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:34.165111image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:35.688799image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:37.194464image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:56.328307image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:58.479789image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:00.735178image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:02.352861image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:03.854027image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:05.995787image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:07.629943image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:09.223465image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:11.171898image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:12.843436image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:14.412540image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:16.005530image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:17.530928image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:19.561626image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:21.133374image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:22.747648image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:24.239142image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:25.839552image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:27.942505image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:29.512134image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:31.113584image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:32.684804image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:34.226571image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:35.752905image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:37.253310image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:56.399577image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:58.562289image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:00.802661image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:02.416173image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:03.914572image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:06.063738image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:07.695903image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:09.285744image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:11.238643image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:12.906704image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:14.479651image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:16.067745image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:17.593166image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:19.627912image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:21.199427image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:22.807111image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:24.299353image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:25.904534image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:28.007121image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:29.574907image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:31.181619image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:32.747718image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:34.288331image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:35.811648image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:37.311337image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:56.470683image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:36:58.652624image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:00.869951image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:02.477671image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:03.973084image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:06.130537image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:07.763754image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:09.349760image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:11.300436image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:12.970648image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:14.544131image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:16.133437image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:17.655354image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:19.692023image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:21.270340image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:22.867550image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:24.358876image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:25.967362image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:28.072712image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:29.642174image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:31.246704image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:32.810267image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:34.350661image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:37:35.872010image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-09-01T11:37:41.967899image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
water_supply1.0000.9750.975-0.9050.9750.9750.9030.8790.9130.9680.7450.9350.8490.9330.6420.962-0.2650.9750.1860.2320.1170.1880.2530.205-0.162
Total_Population0.9751.0001.000-0.9301.0001.0000.9230.9120.9440.9960.7580.9630.8570.9480.6620.990-0.2581.0000.2150.065-0.0080.0700.0870.192-0.003
Households0.9751.0001.000-0.9301.0001.0000.9230.9120.9440.9960.7580.9630.8570.9480.6620.990-0.2581.0000.2150.065-0.0080.0690.0870.193-0.003
Population_per_Households-0.905-0.930-0.9301.000-0.930-0.930-0.823-0.841-0.881-0.927-0.706-0.912-0.901-0.880-0.591-0.9220.455-0.930-0.056-0.0380.024-0.070-0.058-0.208-0.017
Male_Population0.9751.0001.000-0.9301.0001.0000.9230.9120.9440.9960.7580.9630.8570.9480.6620.990-0.2581.0000.2150.065-0.0080.0700.0870.192-0.003
Female_Population0.9751.0001.000-0.9301.0001.0000.9230.9120.9440.9960.7580.9630.8570.9480.6620.990-0.2581.0000.2150.065-0.0080.0700.0880.192-0.003
Male_Female_Ratio0.9030.9230.923-0.8230.9230.9231.0000.9390.8590.9140.5840.8820.7410.8710.6130.894-0.0670.9230.2120.1080.0290.1140.1340.211-0.063
Population_aging_Ratio0.8790.9120.912-0.8410.9120.9120.9391.0000.8630.9060.6580.8640.7120.8340.6840.893-0.1230.9120.3560.056-0.0250.0690.0790.232-0.009
Power_usage0.9130.9440.944-0.8810.9440.9440.8590.8631.0000.9380.7420.9140.8230.9030.6110.939-0.2810.9440.224-0.065-0.093-0.013-0.0480.1550.121
Num_of_Business0.9680.9960.996-0.9270.9960.9960.9140.9060.9381.0000.7660.9620.8580.9440.6660.986-0.2610.9960.2170.057-0.0150.0490.0800.1910.004
Business_above_1000.7450.7580.758-0.7060.7580.7580.5840.6580.7420.7661.0000.7170.6860.7100.4730.751-0.5100.7580.5320.086-0.033-0.0540.1130.1340.008
complex_area0.9350.9630.963-0.9120.9630.9630.8820.8640.9140.9620.7171.0000.8920.9430.6610.958-0.3380.9630.1540.031-0.0210.0700.0580.2120.014
annual_household_income0.8490.8570.857-0.9010.8570.8570.7410.7120.8230.8580.6860.8921.0000.9160.6290.867-0.5740.8570.0540.0420.0040.0430.0640.1670.011
High_School_Graduate_num0.9330.9480.948-0.8800.9480.9480.8710.8340.9030.9440.7100.9430.9161.0000.7410.944-0.3290.9480.1850.038-0.0310.0090.0620.1870.012
High_School_Graduate_ratio0.6420.6620.662-0.5910.6620.6620.6130.6840.6110.6660.4730.6610.6290.7411.0000.699-0.0600.6630.3490.044-0.046-0.0150.0520.1570.005
personal_expense0.9620.9900.990-0.9220.9900.9900.8940.8930.9390.9860.7510.9580.8670.9440.6991.000-0.2450.9890.2110.046-0.0150.0430.0670.2160.003
benefits_vs_personal_expense-0.265-0.258-0.2580.455-0.258-0.258-0.067-0.123-0.281-0.261-0.510-0.338-0.574-0.329-0.060-0.2451.000-0.258-0.091-0.0210.0560.052-0.040-0.028-0.031
employment_ratio0.9751.0001.000-0.9301.0001.0000.9230.9120.9440.9960.7580.9630.8570.9480.6630.989-0.2581.0000.2150.065-0.0080.0690.0880.192-0.003
employment_insurance_ratio0.1860.2150.215-0.0560.2150.2150.2120.3560.2240.2170.5320.1540.0540.1850.3490.211-0.0910.2151.0000.031-0.119-0.2230.0490.0530.026
Average_Temp0.2320.0650.065-0.0380.0650.0650.1080.056-0.0650.0570.0860.0310.0420.0380.0440.046-0.0210.0650.0311.0000.6980.6550.9920.155-0.915
Monthly_Rainfall0.117-0.008-0.0080.024-0.008-0.0080.029-0.025-0.093-0.015-0.033-0.0210.004-0.031-0.046-0.0150.056-0.008-0.1190.6981.0000.7140.6800.143-0.676
Average_Relative_Humadity0.1880.0700.069-0.0700.0700.0700.1140.069-0.0130.049-0.0540.0700.0430.009-0.0150.0430.0520.069-0.2230.6550.7141.0000.639-0.147-0.571
Ground_Temp0.2530.0870.087-0.0580.0870.0880.1340.079-0.0480.0800.1130.0580.0640.0620.0520.067-0.0400.0880.0490.9920.6800.6391.0000.188-0.925
Average_Wind0.2050.1920.193-0.2080.1920.1920.2110.2320.1550.1910.1340.2120.1670.1870.1570.216-0.0280.1920.0530.1550.143-0.1470.1881.000-0.336
Average_Pressure-0.162-0.003-0.003-0.017-0.003-0.003-0.063-0.0090.1210.0040.0080.0140.0110.0120.0050.003-0.031-0.0030.026-0.915-0.676-0.571-0.925-0.3361.000

Missing values

2023-09-01T11:37:37.406311image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-01T11:37:37.594304image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2010-01-01234206.000000492891.0185196.02.661456254025.0238866.01.0634627.6941151000.021793.0274.069041059.01227.02532.00.48018257877912.09.6151400.00.307167-4.426.973.0-3.11.51020.4
2010-02-01230623.035714493951.0185587.02.661560254554.0239397.01.0633137.6907051000.020902.0248.069041059.01227.02532.00.48018257877912.09.6152511.00.3087571.456.769.00.91.61017.4
2010-03-01232326.967742495627.0186288.02.660542255403.0240224.01.0631877.6866755000.020772.0246.069041059.01227.02532.00.48018257877912.09.6152391.00.3074714.678.769.04.92.31016.2
2010-04-01236923.833333496650.0186577.02.661904255912.0240738.01.0630317.6901850000.021631.0253.069041059.01227.02532.00.48018257877912.09.6155766.00.3136339.658.665.010.52.21013.9
2010-05-01245231.967742497528.0186746.02.664196256419.0241109.01.0634987.6860703000.021239.0251.069041059.01227.02532.00.48018257877912.09.6156725.00.31500717.1100.773.018.41.91006.9
2010-06-01265505.600000497907.0186704.02.666826256628.0241279.01.0636157.6846808000.022548.0258.068812331.01227.02532.00.48018257877912.09.6157942.00.31721223.1116.173.024.51.61005.7
2010-07-01278059.419355498350.0186720.02.668970256841.0241509.01.0634847.6888670000.023202.0263.068812331.01227.02532.00.48018257877912.09.6158950.00.31895326.0206.883.027.31.81003.8
2010-08-01275904.419355499038.0186966.02.669138257235.0241803.01.0638217.6900857000.022330.0257.068812331.01227.02532.00.48018257877912.09.6159838.00.32029226.9372.886.028.11.61006.4
2010-09-01271495.866667500171.0187222.02.671540257803.0242368.01.0636847.6888211000.022759.0257.068812331.01227.02532.00.48018257877912.09.6159807.00.31950522.2375.981.023.41.71009.5
2010-10-01259120.903226502774.0189042.02.659589259263.0243511.01.0646877.6720258000.023446.0260.068812331.01227.02532.00.48018257877912.09.6159684.00.31760614.430.074.014.91.41015.2
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2021-03-01509744.870968860865.0356761.02.413002447092.0413773.01.0805259.01.682398e+0954974.0418.072165074.01434.05912.00.677826164031884.013.4300023.00.3485138.1102.872.08.71.91015.2
2021-04-01509625.066667864687.0359359.02.406193449184.0415503.01.0810619.01.644255e+0955938.0432.072165237.01434.05912.00.677826164031884.013.4302522.00.34986313.5106.462.014.92.21013.8
2021-05-01506794.516129867819.0361285.02.402034450855.0416964.01.0812809.11.606100e+0956176.0426.072165237.01434.05912.00.677826164031884.013.4303690.00.34994616.5179.277.017.82.01004.7
2021-06-01538136.133333870361.0362941.02.398078452263.0418098.01.0817159.11.658285e+0957657.0428.072165237.01434.05912.00.677826164031884.013.4305212.00.35067322.550.178.024.91.81003.4
2021-07-01565534.322581872537.0364392.02.394501453495.0419042.01.0822189.21.794299e+0957667.0424.072165237.01434.05912.00.677826164031884.013.4305650.00.35030027.7134.477.029.31.81003.6
2021-08-01561707.967742875987.0366147.02.392446455268.0420719.01.0821199.21.839533e+0958445.0427.072163405.01434.05912.00.677826164031884.013.4306700.00.35011925.7161.181.027.21.81004.2
2021-09-01545017.866667878879.0367918.02.388790456841.0422038.01.0824649.21.716594e+0957015.0433.072163405.01434.05912.00.677826164031884.013.4308659.00.35119622.6164.175.023.12.11009.1
2021-10-01534545.741935881154.0369284.02.386115457918.0423236.01.0819459.21.634537e+0959483.0440.072163431.01434.05912.00.677826164031884.013.4310679.00.35258215.636.072.016.11.71016.8
2021-11-01524098.933333884225.0371115.02.382617459514.0424711.01.0819459.31.670443e+0958947.0438.072163431.01434.05912.00.677826164031884.013.4312438.00.3533477.9104.274.07.61.61015.3
2021-12-01523601.516129887015.0372888.02.378771460788.0426227.01.0810869.31.792577e+0958459.0445.072163372.01434.05912.00.677826164031884.013.4312922.00.3527810.712.365.00.71.91020.7